Workshop on context-aware recommender systems

Gediminas Adomavicius, Francesco Ricci, Konstantin Bauman, Alexander Tuzhilin, Bamshad Mobasher, Moshe Unger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Contextual information has been widely recognized as an important modeling dimension both in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and retrieval performance. While a substantial amount of existing research has focused context-aware recommender systems (CARS), many interesting problems remain under-explored. The CARS 2019 workshop provides a venue for presenting and discussing approaches for next generation of CARS and application domains that may require a variety of dimensions of contexts and cope with its dynamic properties.

Original languageEnglish
Title of host publicationRecSys 2019 - 13th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Number of pages2
ISBN (Electronic)9781450362436
StatePublished - 10 Sep 2019
Externally publishedYes
Event13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark
Duration: 16 Sep 201920 Sep 2019

Publication series

NameRecSys 2019 - 13th ACM Conference on Recommender Systems


Conference13th ACM Conference on Recommender Systems, RecSys 2019


  • Context
  • Context-aware recommendation
  • Sequence-aware recommendation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Computer Science Applications


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